In [ ]:
!pip install roboflow
from roboflow import Roboflow
rf = Roboflow(api_key="1JyiLkbtwZmSoXCqXEnc")
project = rf.workspace("grupo-6-placas").project("peru-plate-numbers")
version = project.version(3)
dataset = version.download("yolov11")
In [6]:
from ultralytics import YOLO
import os
# Load a model
model = YOLO("yolo11n.pt")
cwd = os.getcwd()
rel_path = r"Peru-Plate-Numbers-3\data.yaml"
# Train the model
train_results = model.train(
data= os.path.join(cwd,rel_path), # path to dataset YAML Peru-Plate-Numbers-3\data.yaml
batch=-1,
epochs=100, # number of training epochs
imgsz=640, # training image size
device=0, # device to run on, i.e. device=0 or device=0,1,2,3 or device=cpu
)
# Evaluate model performance on the validation set
metrics = model.val()
Ultralytics 8.3.6 Python-3.10.11 torch-2.4.1+cu124 CUDA:0 (NVIDIA GeForce RTX 3080, 10240MiB) engine\trainer: task=detect, mode=train, model=yolo11n.pt, data=c:\Users\kainak0\Documents\gitProjects\mia\MIA-203_redes_neuronales\Peru-Plate-Numbers-3\data.yaml, epochs=100, time=None, patience=100, batch=-1, imgsz=640, save=True, save_period=-1, cache=False, device=0, workers=8, project=None, name=train3, exist_ok=False, pretrained=True, optimizer=auto, verbose=True, seed=0, deterministic=True, single_cls=False, rect=False, cos_lr=False, close_mosaic=10, resume=False, amp=True, fraction=1.0, profile=False, freeze=None, multi_scale=False, overlap_mask=True, mask_ratio=4, dropout=0.0, val=True, split=val, save_json=False, save_hybrid=False, conf=None, iou=0.7, max_det=300, half=False, dnn=False, plots=True, source=None, vid_stride=1, stream_buffer=False, visualize=False, augment=False, agnostic_nms=False, classes=None, retina_masks=False, embed=None, show=False, save_frames=False, save_txt=False, save_conf=False, save_crop=False, show_labels=True, show_conf=True, show_boxes=True, line_width=None, format=torchscript, keras=False, optimize=False, int8=False, dynamic=False, simplify=True, opset=None, workspace=4, nms=False, lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=7.5, cls=0.5, dfl=1.5, pose=12.0, kobj=1.0, label_smoothing=0.0, nbs=64, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, bgr=0.0, mosaic=1.0, mixup=0.0, copy_paste=0.0, copy_paste_mode=flip, auto_augment=randaugment, erasing=0.4, crop_fraction=1.0, cfg=None, tracker=botsort.yaml, save_dir=runs\detect\train3 Overriding model.yaml nc=80 with nc=2 from n params module arguments 0 -1 1 464 ultralytics.nn.modules.conv.Conv [3, 16, 3, 2] 1 -1 1 4672 ultralytics.nn.modules.conv.Conv [16, 32, 3, 2] 2 -1 1 6640 ultralytics.nn.modules.block.C3k2 [32, 64, 1, False, 0.25] 3 -1 1 36992 ultralytics.nn.modules.conv.Conv [64, 64, 3, 2] 4 -1 1 26080 ultralytics.nn.modules.block.C3k2 [64, 128, 1, False, 0.25] 5 -1 1 147712 ultralytics.nn.modules.conv.Conv [128, 128, 3, 2] 6 -1 1 87040 ultralytics.nn.modules.block.C3k2 [128, 128, 1, True] 7 -1 1 295424 ultralytics.nn.modules.conv.Conv [128, 256, 3, 2] 8 -1 1 346112 ultralytics.nn.modules.block.C3k2 [256, 256, 1, True] 9 -1 1 164608 ultralytics.nn.modules.block.SPPF [256, 256, 5] 10 -1 1 249728 ultralytics.nn.modules.block.C2PSA [256, 256, 1] 11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] 12 [-1, 6] 1 0 ultralytics.nn.modules.conv.Concat [1] 13 -1 1 111296 ultralytics.nn.modules.block.C3k2 [384, 128, 1, False] 14 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] 15 [-1, 4] 1 0 ultralytics.nn.modules.conv.Concat [1] 16 -1 1 32096 ultralytics.nn.modules.block.C3k2 [256, 64, 1, False] 17 -1 1 36992 ultralytics.nn.modules.conv.Conv [64, 64, 3, 2] 18 [-1, 13] 1 0 ultralytics.nn.modules.conv.Concat [1] 19 -1 1 86720 ultralytics.nn.modules.block.C3k2 [192, 128, 1, False] 20 -1 1 147712 ultralytics.nn.modules.conv.Conv [128, 128, 3, 2] 21 [-1, 10] 1 0 ultralytics.nn.modules.conv.Concat [1] 22 -1 1 378880 ultralytics.nn.modules.block.C3k2 [384, 256, 1, True] 23 [16, 19, 22] 1 431062 ultralytics.nn.modules.head.Detect [2, [64, 128, 256]] YOLO11n summary: 319 layers, 2,590,230 parameters, 2,590,214 gradients, 6.4 GFLOPs Transferred 448/499 items from pretrained weights Freezing layer 'model.23.dfl.conv.weight' AMP: running Automatic Mixed Precision (AMP) checks with YOLO11n... AMP: checks passed AutoBatch: Computing optimal batch size for imgsz=640 at 60.0% CUDA memory utilization. AutoBatch: CUDA:0 (NVIDIA GeForce RTX 3080) 10.00G total, 0.10G reserved, 0.05G allocated, 9.85G free Params GFLOPs GPU_mem (GB) forward (ms) backward (ms) input output 2590230 6.442 0.245 25.85 65.33 (1, 3, 640, 640) list 2590230 12.88 0.354 20.86 25.35 (2, 3, 640, 640) list 2590230 25.77 0.640 20.19 24.64 (4, 3, 640, 640) list 2590230 51.53 1.168 22.2 26.19 (8, 3, 640, 640) list 2590230 103.1 2.257 27.89 33.57 (16, 3, 640, 640) list AutoBatch: Using batch-size 43 for CUDA:0 6.04G/10.00G (60%)
train: Scanning C:\Users\kainak0\Documents\gitProjects\mia\MIA-203_redes_neuronales\Peru-Plate-Numbers-3\train\labels... 1470 images, 0 backgrounds, 0 corrupt: 100%|██████████| 1470/1470 [00:00<00:00, 2276.83it/s]
train: New cache created: C:\Users\kainak0\Documents\gitProjects\mia\MIA-203_redes_neuronales\Peru-Plate-Numbers-3\train\labels.cache
val: Scanning C:\Users\kainak0\Documents\gitProjects\mia\MIA-203_redes_neuronales\Peru-Plate-Numbers-3\valid\labels... 138 images, 0 backgrounds, 0 corrupt: 100%|██████████| 138/138 [00:00<00:00, 1710.79it/s]
val: New cache created: C:\Users\kainak0\Documents\gitProjects\mia\MIA-203_redes_neuronales\Peru-Plate-Numbers-3\valid\labels.cache
WARNING Box and segment counts should be equal, but got len(segments) = 240, len(boxes) = 257. To resolve this only boxes will be used and all segments will be removed. To avoid this please supply either a detect or segment dataset, not a detect-segment mixed dataset.
Plotting labels to runs\detect\train3\labels.jpg... optimizer: 'optimizer=auto' found, ignoring 'lr0=0.01' and 'momentum=0.937' and determining best 'optimizer', 'lr0' and 'momentum' automatically... optimizer: AdamW(lr=0.001667, momentum=0.9) with parameter groups 81 weight(decay=0.0), 88 weight(decay=0.00033593750000000003), 87 bias(decay=0.0) Image sizes 640 train, 640 val Using 8 dataloader workers Logging results to runs\detect\train3 Starting training for 100 epochs... Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
1/100 6.05G 1.774 4.183 1.079 22 640: 100%|██████████| 35/35 [00:15<00:00, 2.20it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.23it/s]
all 138 257 0.00127 0.137 0.000784 0.000314
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
2/100 6.07G 1.556 2.026 0.9366 23 640: 100%|██████████| 35/35 [00:14<00:00, 2.43it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.12it/s]
all 138 257 0.00596 0.814 0.0278 0.00954
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
3/100 6.12G 1.528 1.621 0.9404 31 640: 100%|██████████| 35/35 [00:13<00:00, 2.61it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.47it/s]
all 138 257 0.81 0.393 0.669 0.349
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
4/100 6.09G 1.518 1.298 0.9535 22 640: 100%|██████████| 35/35 [00:13<00:00, 2.59it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.09it/s]
all 138 257 0.732 0.471 0.686 0.387
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
5/100 6.13G 1.496 1.122 0.9426 34 640: 100%|██████████| 35/35 [00:13<00:00, 2.52it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.03it/s]
all 138 257 0.86 0.916 0.918 0.531
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
6/100 6.09G 1.484 1.055 0.9354 38 640: 100%|██████████| 35/35 [00:13<00:00, 2.53it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.51it/s]
all 138 257 0.278 0.659 0.285 0.137
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
7/100 6.12G 1.429 0.9869 0.9375 36 640: 100%|██████████| 35/35 [00:13<00:00, 2.68it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.62it/s]
all 138 257 0.818 0.796 0.872 0.517
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
8/100 6.12G 1.435 0.9616 0.9305 30 640: 100%|██████████| 35/35 [00:13<00:00, 2.55it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.73it/s]
all 138 257 0.892 0.738 0.84 0.46
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
9/100 6.13G 1.419 0.9457 0.9283 30 640: 100%|██████████| 35/35 [00:12<00:00, 2.87it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.79it/s]
all 138 257 0.824 0.821 0.873 0.471
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
10/100 6.12G 1.392 0.8896 0.9211 19 640: 100%|██████████| 35/35 [00:15<00:00, 2.28it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.25it/s]
all 138 257 0.852 0.868 0.881 0.387
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
11/100 6.12G 1.372 0.9042 0.9161 23 640: 100%|██████████| 35/35 [00:13<00:00, 2.56it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.01it/s]
all 138 257 0.818 0.767 0.879 0.536
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
12/100 6.14G 1.36 0.8754 0.918 19 640: 100%|██████████| 35/35 [00:14<00:00, 2.41it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.90it/s]
all 138 257 0.871 0.844 0.929 0.586
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
13/100 6.04G 1.341 0.8748 0.9138 22 640: 100%|██████████| 35/35 [00:15<00:00, 2.28it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.20it/s]
all 138 257 0.875 0.853 0.909 0.567
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
14/100 6.09G 1.335 0.8698 0.9094 21 640: 100%|██████████| 35/35 [00:14<00:00, 2.42it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.04it/s]
all 138 257 0.842 0.817 0.87 0.54
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
15/100 6.13G 1.33 0.8815 0.9005 21 640: 100%|██████████| 35/35 [00:13<00:00, 2.69it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.16it/s]
all 138 257 0.626 0.435 0.303 0.183
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
16/100 6.09G 1.325 0.8859 0.9006 21 640: 100%|██████████| 35/35 [00:12<00:00, 2.81it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.34it/s]
all 138 257 0.861 0.866 0.913 0.597
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
17/100 6.09G 1.314 0.863 0.8975 25 640: 100%|██████████| 35/35 [00:15<00:00, 2.32it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.21it/s]
all 138 257 0.884 0.835 0.918 0.62
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
18/100 6.13G 1.319 0.8613 0.9026 22 640: 100%|██████████| 35/35 [00:14<00:00, 2.42it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.85it/s]
all 138 257 0.885 0.839 0.892 0.563
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
19/100 6.09G 1.299 0.8584 0.8969 17 640: 100%|██████████| 35/35 [00:15<00:00, 2.33it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.86it/s]
all 138 257 0.571 0.691 0.57 0.35
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
20/100 6.16G 1.284 0.8448 0.8989 17 640: 100%|██████████| 35/35 [00:14<00:00, 2.41it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.84it/s]
all 138 257 0.866 0.914 0.92 0.576
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
21/100 6.09G 1.316 0.8617 0.9009 29 640: 100%|██████████| 35/35 [00:17<00:00, 2.04it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.99it/s]
all 138 257 0.794 0.791 0.839 0.498
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
22/100 6.12G 1.301 0.8322 0.8943 39 640: 100%|██████████| 35/35 [00:13<00:00, 2.52it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.85it/s]
all 138 257 0.854 0.866 0.873 0.537
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
23/100 6.14G 1.286 0.8231 0.9065 22 640: 100%|██████████| 35/35 [00:15<00:00, 2.23it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.85it/s]
all 138 257 0.919 0.839 0.925 0.599
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
24/100 6.13G 1.283 0.8405 0.8963 18 640: 100%|██████████| 35/35 [00:15<00:00, 2.20it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.17it/s]
all 138 257 0.795 0.808 0.844 0.555
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
25/100 6.08G 1.261 0.8257 0.8992 28 640: 100%|██████████| 35/35 [00:15<00:00, 2.21it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.00it/s]
all 138 257 0.814 0.909 0.914 0.532
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
26/100 6.1G 1.295 0.8367 0.8962 24 640: 100%|██████████| 35/35 [00:14<00:00, 2.42it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.25it/s]
all 138 257 0.93 0.868 0.918 0.579
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
27/100 6.12G 1.265 0.8284 0.8931 20 640: 100%|██████████| 35/35 [00:13<00:00, 2.64it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.96it/s]
all 138 257 0.925 0.923 0.944 0.603
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
28/100 6.15G 1.265 0.8081 0.8885 35 640: 100%|██████████| 35/35 [00:15<00:00, 2.24it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.91it/s]
all 138 257 0.879 0.913 0.896 0.578
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
29/100 6.12G 1.262 0.8325 0.9077 16 640: 100%|██████████| 35/35 [00:15<00:00, 2.24it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.03it/s]
all 138 257 0.861 0.928 0.894 0.561
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
30/100 6.08G 1.259 0.8061 0.8891 27 640: 100%|██████████| 35/35 [00:13<00:00, 2.59it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.14it/s]
all 138 257 0.888 0.918 0.921 0.617
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
31/100 6.07G 1.24 0.8018 0.8861 23 640: 100%|██████████| 35/35 [00:15<00:00, 2.29it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.87it/s]
all 138 257 0.863 0.927 0.907 0.613
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
32/100 6.13G 1.254 0.8205 0.891 27 640: 100%|██████████| 35/35 [00:14<00:00, 2.34it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.25it/s]
all 138 257 0.845 0.932 0.875 0.535
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
33/100 6.12G 1.247 0.8263 0.8822 33 640: 100%|██████████| 35/35 [00:13<00:00, 2.52it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.22it/s]
all 138 257 0.895 0.925 0.901 0.604
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
34/100 6.12G 1.241 0.8043 0.8885 26 640: 100%|██████████| 35/35 [00:13<00:00, 2.60it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.02it/s]
all 138 257 0.952 0.834 0.928 0.582
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
35/100 6.12G 1.23 0.8159 0.8895 30 640: 100%|██████████| 35/35 [00:12<00:00, 2.91it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.24it/s]
all 138 257 0.922 0.921 0.924 0.609
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
36/100 6.12G 1.218 0.8134 0.8898 21 640: 100%|██████████| 35/35 [00:13<00:00, 2.51it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.99it/s]
all 138 257 0.832 0.919 0.848 0.564
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
37/100 6.09G 1.221 0.8051 0.8892 41 640: 100%|██████████| 35/35 [00:14<00:00, 2.36it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.09it/s]
all 138 257 0.894 0.921 0.911 0.592
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
38/100 6.09G 1.238 0.796 0.8833 28 640: 100%|██████████| 35/35 [00:13<00:00, 2.56it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.04it/s]
all 138 257 0.88 0.954 0.908 0.597
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
39/100 6.15G 1.234 0.7947 0.8964 19 640: 100%|██████████| 35/35 [00:13<00:00, 2.52it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.95it/s]
all 138 257 0.922 0.921 0.92 0.632
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
40/100 6.13G 1.202 0.7969 0.8806 30 640: 100%|██████████| 35/35 [00:14<00:00, 2.36it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.06it/s]
all 138 257 0.885 0.931 0.897 0.602
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
41/100 6.12G 1.216 0.7885 0.8878 30 640: 100%|██████████| 35/35 [00:13<00:00, 2.52it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.29it/s]
all 138 257 0.848 0.82 0.885 0.579
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
42/100 6.04G 1.206 0.7936 0.8807 31 640: 100%|██████████| 35/35 [00:13<00:00, 2.69it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.00it/s]
all 138 257 0.886 0.869 0.908 0.639
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
43/100 6.09G 1.226 0.7976 0.8841 19 640: 100%|██████████| 35/35 [00:14<00:00, 2.48it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.95it/s]
all 138 257 0.877 0.925 0.901 0.593
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
44/100 6.13G 1.209 0.8001 0.8853 26 640: 100%|██████████| 35/35 [00:15<00:00, 2.22it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.19it/s]
all 138 257 0.873 0.942 0.883 0.579
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
45/100 6.09G 1.183 0.7878 0.8924 25 640: 100%|██████████| 35/35 [00:14<00:00, 2.48it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.20it/s]
all 138 257 0.887 0.904 0.892 0.573
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
46/100 6.12G 1.181 0.7941 0.8811 21 640: 100%|██████████| 35/35 [00:13<00:00, 2.53it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.94it/s]
all 138 257 0.878 0.947 0.873 0.574
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
47/100 6.12G 1.174 0.782 0.8732 27 640: 100%|██████████| 35/35 [00:14<00:00, 2.48it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.05it/s]
all 138 257 0.822 0.913 0.826 0.551
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
48/100 6.09G 1.204 0.7857 0.8756 33 640: 100%|██████████| 35/35 [00:14<00:00, 2.50it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.55it/s]
all 138 257 0.836 0.927 0.848 0.572
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
49/100 6.12G 1.189 0.7726 0.8777 30 640: 100%|██████████| 35/35 [00:14<00:00, 2.34it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.28it/s]
all 138 257 0.93 0.914 0.92 0.634
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
50/100 6.14G 1.196 0.7784 0.8794 23 640: 100%|██████████| 35/35 [00:12<00:00, 2.70it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.09it/s]
all 138 257 0.916 0.916 0.911 0.64
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
51/100 6.09G 1.174 0.771 0.8662 19 640: 100%|██████████| 35/35 [00:13<00:00, 2.61it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.12it/s]
all 138 257 0.912 0.907 0.923 0.641
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
52/100 6.13G 1.163 0.7895 0.8658 22 640: 100%|██████████| 35/35 [00:15<00:00, 2.27it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.52it/s]
all 138 257 0.903 0.909 0.909 0.657
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
53/100 6.13G 1.169 0.7637 0.873 20 640: 100%|██████████| 35/35 [00:14<00:00, 2.35it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.92it/s]
all 138 257 0.888 0.933 0.895 0.628
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
54/100 6.08G 1.167 0.7724 0.8773 17 640: 100%|██████████| 35/35 [00:13<00:00, 2.52it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.07it/s]
all 138 257 0.858 0.925 0.866 0.589
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
55/100 6.07G 1.152 0.7542 0.8737 16 640: 100%|██████████| 35/35 [00:13<00:00, 2.57it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.03it/s]
all 138 257 0.854 0.923 0.852 0.554
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
56/100 6.09G 1.149 0.7542 0.8712 20 640: 100%|██████████| 35/35 [00:14<00:00, 2.40it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.69it/s]
all 138 257 0.867 0.942 0.874 0.6
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
57/100 6.12G 1.151 0.7567 0.8702 18 640: 100%|██████████| 35/35 [00:14<00:00, 2.45it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.02it/s]
all 138 257 0.851 0.882 0.883 0.62
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
58/100 6.13G 1.162 0.7589 0.8719 33 640: 100%|██████████| 35/35 [00:15<00:00, 2.28it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.49it/s]
all 138 257 0.903 0.907 0.898 0.623
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
59/100 6.12G 1.158 0.752 0.864 40 640: 100%|██████████| 35/35 [00:40<00:00, 1.14s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:02<00:00, 1.34s/it]
all 138 257 0.882 0.926 0.889 0.592
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
60/100 6.12G 1.148 0.7577 0.8685 34 640: 100%|██████████| 35/35 [00:35<00:00, 1.00s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:02<00:00, 1.29s/it]
all 138 257 0.898 0.93 0.895 0.612
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
61/100 6.13G 1.141 0.7654 0.8697 17 640: 100%|██████████| 35/35 [00:30<00:00, 1.15it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.57it/s]
all 138 257 0.874 0.929 0.919 0.641
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
62/100 6.14G 1.148 0.7694 0.8668 17 640: 100%|██████████| 35/35 [00:13<00:00, 2.59it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.84it/s]
all 138 257 0.898 0.897 0.882 0.626
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
63/100 6.09G 1.154 0.7451 0.8698 27 640: 100%|██████████| 35/35 [00:13<00:00, 2.51it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.11it/s]
all 138 257 0.883 0.91 0.891 0.631
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
64/100 6.08G 1.129 0.7512 0.8667 21 640: 100%|██████████| 35/35 [00:15<00:00, 2.24it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.92it/s]
all 138 257 0.909 0.949 0.924 0.661
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
65/100 6.1G 1.137 0.7471 0.8637 29 640: 100%|██████████| 35/35 [00:13<00:00, 2.65it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.04it/s]
all 138 257 0.851 0.945 0.877 0.607
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
66/100 6.14G 1.132 0.7541 0.8701 20 640: 100%|██████████| 35/35 [00:13<00:00, 2.52it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.92it/s]
all 138 257 0.878 0.928 0.883 0.6
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
67/100 6.04G 1.139 0.7433 0.8681 20 640: 100%|██████████| 35/35 [00:13<00:00, 2.52it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.67it/s]
all 138 257 0.87 0.922 0.869 0.599
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
68/100 6.13G 1.137 0.759 0.866 24 640: 100%|██████████| 35/35 [00:13<00:00, 2.52it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.13it/s]
all 138 257 0.903 0.915 0.9 0.639
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
69/100 6.12G 1.126 0.753 0.861 30 640: 100%|██████████| 35/35 [00:28<00:00, 1.22it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:02<00:00, 1.09s/it]
all 138 257 0.922 0.906 0.911 0.656
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
70/100 6.13G 1.117 0.7508 0.8627 22 640: 100%|██████████| 35/35 [00:43<00:00, 1.23s/it]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.28it/s]
all 138 257 0.88 0.9 0.876 0.618
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
71/100 6.17G 1.118 0.7373 0.8626 26 640: 100%|██████████| 35/35 [00:16<00:00, 2.15it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.50it/s]
all 138 257 0.929 0.94 0.934 0.651
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
72/100 6.12G 1.115 0.7257 0.8633 24 640: 100%|██████████| 35/35 [00:16<00:00, 2.13it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.77it/s]
all 138 257 0.881 0.923 0.914 0.637
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
73/100 6.08G 1.116 0.7228 0.8634 22 640: 100%|██████████| 35/35 [00:15<00:00, 2.24it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.85it/s]
all 138 257 0.901 0.928 0.908 0.65
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
74/100 6.06G 1.12 0.7318 0.8635 32 640: 100%|██████████| 35/35 [00:15<00:00, 2.30it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.60it/s]
all 138 257 0.914 0.926 0.917 0.65
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
75/100 6.07G 1.121 0.7276 0.8619 18 640: 100%|██████████| 35/35 [00:15<00:00, 2.26it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.49it/s]
all 138 257 0.902 0.943 0.915 0.657
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
76/100 6.13G 1.113 0.7334 0.8668 32 640: 100%|██████████| 35/35 [00:16<00:00, 2.07it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.61it/s]
all 138 257 0.908 0.92 0.891 0.628
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
77/100 6.14G 1.103 0.7435 0.8571 25 640: 100%|██████████| 35/35 [00:14<00:00, 2.49it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.75it/s]
all 138 257 0.887 0.921 0.89 0.628
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
78/100 6.13G 1.106 0.7257 0.8522 15 640: 100%|██████████| 35/35 [00:17<00:00, 2.06it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.75it/s]
all 138 257 0.903 0.906 0.881 0.627
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
79/100 6.14G 1.105 0.7248 0.8617 20 640: 100%|██████████| 35/35 [00:14<00:00, 2.36it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.97it/s]
all 138 257 0.92 0.908 0.906 0.649
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
80/100 6.09G 1.095 0.7194 0.8578 23 640: 100%|██████████| 35/35 [00:14<00:00, 2.40it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.86it/s]
all 138 257 0.904 0.906 0.898 0.632
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
81/100 6.12G 1.095 0.7288 0.8523 23 640: 100%|██████████| 35/35 [00:15<00:00, 2.32it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.65it/s]
all 138 257 0.908 0.923 0.897 0.645
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
82/100 6.12G 1.082 0.7271 0.8601 31 640: 100%|██████████| 35/35 [00:14<00:00, 2.44it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.82it/s]
all 138 257 0.902 0.912 0.897 0.629
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
83/100 6.14G 1.085 0.7153 0.8572 20 640: 100%|██████████| 35/35 [00:15<00:00, 2.33it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.04it/s]
all 138 257 0.901 0.922 0.902 0.633
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
84/100 6.12G 1.083 0.7035 0.8544 23 640: 100%|██████████| 35/35 [00:13<00:00, 2.68it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.94it/s]
all 138 257 0.928 0.909 0.913 0.651
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
85/100 6.09G 1.085 0.7205 0.8576 18 640: 100%|██████████| 35/35 [00:15<00:00, 2.24it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.70it/s]
all 138 257 0.899 0.905 0.887 0.619
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
86/100 6.08G 1.088 0.7085 0.8565 25 640: 100%|██████████| 35/35 [00:15<00:00, 2.21it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.72it/s]
all 138 257 0.896 0.905 0.889 0.626
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
87/100 6.1G 1.052 0.7217 0.853 18 640: 100%|██████████| 35/35 [00:14<00:00, 2.42it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.79it/s]
all 138 257 0.888 0.938 0.892 0.638
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
88/100 6.13G 1.053 0.7068 0.849 16 640: 100%|██████████| 35/35 [00:14<00:00, 2.35it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.77it/s]
all 138 257 0.891 0.926 0.895 0.645
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
89/100 6.12G 1.082 0.7214 0.856 23 640: 100%|██████████| 35/35 [00:16<00:00, 2.15it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.93it/s]
all 138 257 0.925 0.92 0.917 0.66
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
90/100 6.14G 1.06 0.7057 0.8528 25 640: 100%|██████████| 35/35 [00:13<00:00, 2.52it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.66it/s]
all 138 257 0.896 0.921 0.917 0.675
Closing dataloader mosaic
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
91/100 6.04G 1.037 0.7169 0.8567 16 640: 100%|██████████| 35/35 [00:20<00:00, 1.70it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.83it/s]
all 138 257 0.88 0.933 0.885 0.622
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
92/100 6.04G 1.031 0.716 0.8531 11 640: 100%|██████████| 35/35 [00:14<00:00, 2.44it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.82it/s]
all 138 257 0.917 0.924 0.91 0.643
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
93/100 6.04G 1.019 0.7151 0.8562 18 640: 100%|██████████| 35/35 [00:13<00:00, 2.67it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.84it/s]
all 138 257 0.897 0.948 0.89 0.632
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
94/100 6.04G 1.021 0.722 0.8504 12 640: 100%|██████████| 35/35 [00:15<00:00, 2.23it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.03it/s]
all 138 257 0.913 0.94 0.906 0.642
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
95/100 6.04G 1.012 0.7027 0.856 18 640: 100%|██████████| 35/35 [00:13<00:00, 2.64it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.84it/s]
all 138 257 0.914 0.919 0.905 0.638
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
96/100 6.08G 1.013 0.6922 0.8474 12 640: 100%|██████████| 35/35 [00:13<00:00, 2.57it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.13it/s]
all 138 257 0.909 0.913 0.913 0.658
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
97/100 6.02G 1.007 0.7101 0.8482 10 640: 100%|██████████| 35/35 [00:12<00:00, 2.80it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.00it/s]
all 138 257 0.908 0.924 0.903 0.642
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
98/100 6.04G 1.005 0.7158 0.8523 10 640: 100%|██████████| 35/35 [00:13<00:00, 2.57it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.12it/s]
all 138 257 0.893 0.933 0.895 0.641
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
99/100 6.08G 1.002 0.7109 0.8496 15 640: 100%|██████████| 35/35 [00:13<00:00, 2.60it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.17it/s]
all 138 257 0.896 0.926 0.896 0.646
Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size
100/100 6.02G 1.01 0.711 0.8481 14 640: 100%|██████████| 35/35 [00:12<00:00, 2.75it/s]
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 3.10it/s]
all 138 257 0.901 0.923 0.897 0.641
100 epochs completed in 0.479 hours. Optimizer stripped from runs\detect\train3\weights\last.pt, 5.5MB Optimizer stripped from runs\detect\train3\weights\best.pt, 5.5MB Validating runs\detect\train3\weights\best.pt... Ultralytics 8.3.6 Python-3.10.11 torch-2.4.1+cu124 CUDA:0 (NVIDIA GeForce RTX 3080, 10240MiB) YOLO11n summary (fused): 238 layers, 2,582,542 parameters, 0 gradients, 6.3 GFLOPs
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 2/2 [00:00<00:00, 2.06it/s]
all 138 257 0.895 0.922 0.916 0.675
Placa 106 203 0.869 0.918 0.878 0.57
placa 32 54 0.921 0.926 0.954 0.779
Speed: 0.2ms preprocess, 0.9ms inference, 0.0ms loss, 1.7ms postprocess per image
Results saved to runs\detect\train3
Ultralytics 8.3.6 Python-3.10.11 torch-2.4.1+cu124 CUDA:0 (NVIDIA GeForce RTX 3080, 10240MiB)
YOLO11n summary (fused): 238 layers, 2,582,542 parameters, 0 gradients, 6.3 GFLOPs
val: Scanning C:\Users\kainak0\Documents\gitProjects\mia\MIA-203_redes_neuronales\Peru-Plate-Numbers-3\valid\labels.cache... 138 images, 0 backgrounds, 0 corrupt: 100%|██████████| 138/138 [00:00<?, ?it/s]
WARNING Box and segment counts should be equal, but got len(segments) = 240, len(boxes) = 257. To resolve this only boxes will be used and all segments will be removed. To avoid this please supply either a detect or segment dataset, not a detect-segment mixed dataset.
Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:04<00:00, 1.13s/it]
all 138 257 0.895 0.924 0.907 0.673
Placa 106 203 0.87 0.923 0.875 0.573
placa 32 54 0.921 0.926 0.939 0.773
Speed: 0.9ms preprocess, 3.9ms inference, 0.0ms loss, 1.4ms postprocess per image
Results saved to runs\detect\train32
In [ ]:
# # Load model
# model = YOLO(r"runs\detect\train4\weights\best.pt")
# metrics = model.val()
In [7]:
# Perform object detection on an image
results = model(r"Peru-Plate-Numbers-3\valid\images\20231009_202048_jpg.rf.1a67b5b5f05ba6ea31d332fdfcc9c879.jpg")
results[0].show()
image 1/1 c:\Users\kainak0\Documents\gitProjects\mia\MIA-203_redes_neuronales\Peru-Plate-Numbers-3\valid\images\20231009_202048_jpg.rf.1a67b5b5f05ba6ea31d332fdfcc9c879.jpg: 480x640 2 placas, 45.5ms Speed: 3.0ms preprocess, 45.5ms inference, 1.5ms postprocess per image at shape (1, 3, 480, 640)
